Live system reliability

The scorecard on the wall.

These are live, verified numbers from the AI systems running this business — pulled from the production database, checked against the calendar and the records, and published including the mistakes. Every AI agency says their systems are reliable. This page is what it looks like to prove it.

LIVE FROM PRODUCTION connecting…
STATS UNAVAILABLE — the live feed didn't load just now. In keeping with the whole point of this page: no cached or estimated numbers will be shown in their place. Refresh in a moment.
Calls answered
real calls only · shakedown tests excluded
Bookings — verified, not claimed
each one confirmed to exist on the actual calendar
Verification pass rate
across all verification runs
Incidents disclosed
times the system got it wrong — published below, on purpose
Small numbers, real numbers. This system went live recently. What you see is actual volume, not marketing volume — and shakedown test calls are excluded from every figure on this page. When the numbers are small, they'll say so. That's the deal.
How the numbers are made

Every call is treated as an unverified claim.

After each call, the system audits itself in three passes. The agent's own account of what happened is worth nothing until it survives all three.

01 · EXTRACT

What does it claim?

The transcript is read cold: what did the agent act as if happened? A booking, a message, nothing? No benefit of the doubt — the transcript is treated as untrusted input, not gospel.

02 · VERIFY

Did it actually happen?

Every claim is checked against the source of truth. Claimed a booking? The calendar is queried for a real event. Claimed a message was taken? The record has to exist. Where claim and reality disagree, reality wins.

03 · CRITIQUE

What else went wrong?

A second, deliberately harsh review hunts for what pass two can't see: invented prices, overpromises, missed opportunities, clumsy handling. Failures get flagged, reported — and some of them get published here.

The part nobody else publishes

The incident ledger.

When the system gets something wrong, it earns an entry here — what it claimed, what was actually true, and what changed because of it. Details are redacted to protect callers; the mistake itself is not.

Disclosed incidents
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Redaction policy

What gets published — and what never does.

PUBLISHED On this page

  • Aggregate counts: calls, verified bookings, verification runs
  • The verification pass rate, computed live — never hand-entered
  • What the system claimed vs. what was verified, per incident
  • A plain-English incident summary, written and reviewed by a human
  • The honest gap: shakedown/test traffic, disclosed and excluded

NEVER Not on this page

  • Caller names, phone numbers, or email addresses
  • Business names or anything identifying a caller's company
  • Transcripts, recordings, or verbatim caller speech
  • Raw database rows — this page reads a sanitized feed only
  • Estimated, cached, or backfilled numbers when the live feed is down
The pitch, plainly

Want this level of honesty on your own systems?

Every system I build for a client verifies its own work the same way — and every Operate & Maintain client gets a monthly report exactly like this page: what their AI handled, what it escalated, and what it got wrong. This page isn't marketing. It's a sample.

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